The AI in Business Podcast How Digital Workers Are Changing Industrial Performance - with Somya Kapoor of IFS Loops
22 snips
Mar 18, 2026 Somya Kapoor, CEO of IFS Loops, builds agentic digital workers for industrial AI. She discusses why earlier industrial AI stalled and how task-focused digital workers now automate procurement, field service, and back‑office workflows. Topics include plain‑English workflow authoring, integrating agents with human teams, and governance needs like auditability and supervisor agents.
AI Snips
Chapters
Transcript
Episode notes
Why Early Industrial AI Mostly Failed
- Early industrial AI failed largely because infrastructure and models weren't ready.
- Somya says expensive on-prem compute, lack of SaaS adoption, and shallow models prevented practical deployments years ago.
Mixed Data Removes Need For Perfect Lakes
- Modern agentic systems combine structured and unstructured data so enterprises no longer must fully normalize everything first.
- Somya emphasizes outcome-focused use of mixed data reduces the need for exhaustive data engineering.
IFS Loops Delivered Workers Fast After Acquisition
- IFS Loops shipped digital workers to market within six months after acquisition because the platform was already agentic.
- Somya contrasts this with vendors who only give platforms and tell customers to build agents themselves.